The degrees of freedom for the sum of squares regression are ______.
A)11
B)14
C)3
D)5

Question

Quizplus · Accepted Answer

The degrees of freedom for the sum of squares regression is equal to the number of predictors in the model. Since no specific number of predictors is mentioned, the most common scenario is when there is one predictor (simple linear regression), leading to degrees of freedom being 1 (not listed among the options provided). However, without specific context or assuming a more complex model, none of the provided options directly align with common scenarios. The correct answer should reflect the number of predictors minus 1, but given the options and typical scenarios, none directly apply without additional context. My previous response may have been misleading due to an oversight in interpreting the question without specific details on the regression model.

The Degrees of Freedom for the Sum of Squares Regression